Data-driven Modeling of Building Consumption Profile for Optimal Flexibility: Application to Energy Intensive Industry
Résumé
Despite the vast research on the flexibility of buildings consumption, current literature is more about predicting the impacts of energy flexibility than fo-cusing on its modeling. In this paper, a methodology is provided to go from data-driven modeling of the load consumption to an optimization problem with a Mixed-Integer Linear Programming (MILP) formulation. Illustrated on an Energy Intensive Industries (EII) with an economic point of view, the methodology is suitable for any consumption site, allowing optimal energy planning studies at the district scale. Thus, it facilitates the definition of flexibility strategies to exploit the complementary of uses of the districts .
Domaines
Energie électrique
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BS2019_256_8_211201_Pajot_2019-06-28_15-55_a.pdf (724.43 Ko)
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